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Professor Amin Abbosh is a professor in the School of Electrical Engineering and Computer Science within the Faculty of Engineering, Architecture and Information Technology at the University of Queensland, where he has been affiliated since 2005. He earned a Bachelor of Science, a Master of Science by coursework, and a Doctor of Philosophy from the University of Mosul. Additionally, he obtained a Postgraduate Diploma in Higher Education and a Doctor of Philosophy from the University of Queensland, along with a high doctorate, Doctor of Engineering, awarded by the University of Queensland in 2013. As an ARC Future Fellow, he previously served as Director of Research Training and Director of Research for the School of Information Technology and Electrical Engineering for five years. He leads the 42-member Electromagnetic Innovations team and has led more than 25 projects funded by ARC, CRC-P, and industry partners. His research specializations encompass medical microwave imaging systems—including hardware such as microwave devices and antennas, computational electromagnetics, signal processing, and artificial intelligence applications—and microwave and millimetre-wave engineering, including antennas and microwave devices. He has developed portable and wearable systems for brain stroke detection, breast cancer imaging, heart failure monitoring, pulmonary edema, hepatic steatosis, skin cancer detection, knee imaging, and torso scanning. In communications, his designs include flat-panel, low-cost reconfigurable antennas for low-earth-orbit satellite terminals to enable broadband access supporting e-health, distance education, and productivity in remote areas.

Abbosh's contributions are evidenced by over 16 patents and extensive publications, including 369 journal articles and 271 conference papers. Key publications comprise 'Broadband magnetic absorber based on double-layer frequency selective surface' (IEEE Transactions on Antennas and Propagation, 2022), 'Case Report: preliminary images from an electromagnetic portable brain scanner for diagnosis and monitoring of acute stroke' (Frontiers in Neurology, 2021), 'Portable electromagnetic knee imaging system' (IEEE Transactions on Antennas and Propagation, 2021), 'Medical microwave imaging using physics-guided deep learning part 1: the forward solver' (IEEE Transactions on Medical Imaging, 2025), and 'Mitigating mesh-induced errors in time-domain simulation of medical microwave imaging' (IEEE Journal of Electromagnetics, RF and Microwaves in Medicine and Biology, 2026). He received the University of Queensland Excellence in RHD Supervision award in 2016. His scholarly impact includes over 20,000 citations on Google Scholar.